


from __future__ import annotations

import os
from collections.abc import Mapping

a			:			List[Any]												=					tuple[int, int]
class 						lowerCamelCase_							:



					'''simple docstring'''







					def __init__(					self			,							snake_case_			,							snake_case_    ) ->      Tuple:







								'''simple docstring'''

								__lowercase			       = vertices
								__lowercase			       = {
								    (min(snake_case_    ), max(snake_case_    )): weight for edge, weight in edges.items()
								}






					def A   (					self			,							snake_case_			,							snake_case_    ) ->      Any:







								'''simple docstring'''

								self.vertices.add(edge[0]    )
								self.vertices.add(edge[1]    )
								__lowercase			       = weight






					def A   (					self    ) ->      str:







								'''simple docstring'''

								__lowercase			       = Graph({min(self.vertices    )}			,							{}    )
								__lowercase			       = 4_2
								__lowercase			       = 4_2
								__lowercase			       = 4_2
								__lowercase			       = 4_2

								while len(subgraph.vertices    ) < len(self.vertices    ):
											__lowercase			       = max(self.edges.values()    ) + 1
											for edge, weight in self.edges.items():
														if (edge[0] in subgraph.vertices) ^ (edge[1] in subgraph.vertices):
																	if weight < min_weight:
																				__lowercase			       = edge
																				__lowercase			       = weight

											subgraph.add_edge(snake_case_			,							snake_case_    )

								return subgraph




def 		lowercase_	(  _UpperCamelCase = "p107_network.txt"	):


			'''simple docstring'''







			__lowercase			       = os.path.abspath(os.path.dirname(_A	)	)
			__lowercase			       = os.path.join(_A							,      _A	)
			__lowercase			       = {}
			__lowercase			       = 42
			__lowercase			       = 42
			__lowercase			       = 42

			with open(_A	) as f:
						__lowercase			       = f.read().strip().split('''\n'''	)

			__lowercase			       = [line.split(''','''	) for line in data]

			for edgea in range(1							,      len(_A	)	):
						for edgea in range(_A	):
									if adjaceny_matrix[edgea][edgea] != "-":
												__lowercase			       = int(adjaceny_matrix[edgea][edgea]	)

			__lowercase			       = Graph(set(range(len(_A	)	)	)							,      _A	)

			__lowercase			       = graph.prims_algorithm()

			__lowercase			       = sum(graph.edges.values()	)
			__lowercase			       = sum(subgraph.edges.values()	)

			return initial_total - optimal_total


if __name__ == "__main__":
	print(f'''{solution() = }''')






from typing import Callable, Optional

from .. import Features
from ..packaged_modules.generator.generator import Generator
from .abc import AbstractDatasetInputStream







class 							lowerCamelCase__						(				UpperCAmelCase   ):






			"""simple docstring"""






			def __init__(				self   ,    snake_case   ,    snake_case = None   ,    snake_case = None   ,    snake_case = False   ,    snake_case = False   ,    snake_case = None   ,    snake_case = None   ,    **snake_case   ,    ):

						'''simple docstring'''


						super().__init__(
						    features=snake_case   ,    cache_dir=snake_case   ,    keep_in_memory=snake_case   ,    streaming=snake_case   ,    num_proc=snake_case   ,    **snake_case   ,    )
						UpperCamelCase__       =							Generator(
						    cache_dir=snake_case   ,    features=snake_case   ,    generator=snake_case   ,    gen_kwargs=snake_case   ,    **snake_case   ,    )







			def 					snake_case__					(				self  ):

						'''simple docstring'''


						if self.streaming:
									UpperCamelCase__       =							self.builder.as_streaming_dataset(split="train"  )
						# Build regular (map-style) dataset
						else:
									UpperCamelCase__       =							None
									UpperCamelCase__       =							None
									UpperCamelCase__       =							None
									UpperCamelCase__       =							None

									self.builder.download_and_prepare(
									    download_config=snake_case   ,    download_mode=snake_case   ,    verification_mode=snake_case   ,    base_path=snake_case   ,    num_proc=self.num_proc   ,    )
									UpperCamelCase__       =							self.builder.as_dataset(
									    split="train"   ,    verification_mode=snake_case   ,    in_memory=self.keep_in_memory  )
						return dataset


